Rutgers University Department of Physics and Astronomy
Video File

Daniel Whiteson
(University of California, Irvine)

Title: Learning Particle Physics from Machines

Abstract: Recent advances in artificial intelligence offer opportunities to disrupt the traditional strategies for discovery of new particles in high energy collisions. I will describe the new machine-learning techniques, explain why they are particularly well suited for particle physics, present selected results that demonstrate their new capabilities, and present a strategy for translating their learned strategies into human understanding.

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